EP1125042A1 - Regulation d'un moteur a allumage commande - Google Patents

Regulation d'un moteur a allumage commande

Info

Publication number
EP1125042A1
EP1125042A1 EP00956282A EP00956282A EP1125042A1 EP 1125042 A1 EP1125042 A1 EP 1125042A1 EP 00956282 A EP00956282 A EP 00956282A EP 00956282 A EP00956282 A EP 00956282A EP 1125042 A1 EP1125042 A1 EP 1125042A1
Authority
EP
European Patent Office
Prior art keywords
parameter
parameter model
combustion engine
model
parameters
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP00956282A
Other languages
German (de)
English (en)
Other versions
EP1125042B1 (fr
Inventor
Axel Heinrich
Mohammed Ayeb
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Volkswagen AG
Original Assignee
Volkswagen AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Volkswagen AG filed Critical Volkswagen AG
Publication of EP1125042A1 publication Critical patent/EP1125042A1/fr
Application granted granted Critical
Publication of EP1125042B1 publication Critical patent/EP1125042B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D41/00Electrical control of supply of combustible mixture or its constituents
    • F02D41/02Circuit arrangements for generating control signals
    • F02D41/14Introducing closed-loop corrections
    • F02D41/1401Introducing closed-loop corrections characterised by the control or regulation method
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D41/00Electrical control of supply of combustible mixture or its constituents
    • F02D41/02Circuit arrangements for generating control signals
    • F02D41/14Introducing closed-loop corrections
    • F02D41/1401Introducing closed-loop corrections characterised by the control or regulation method
    • F02D2041/1413Controller structures or design
    • F02D2041/1423Identification of model or controller parameters
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D41/00Electrical control of supply of combustible mixture or its constituents
    • F02D41/02Circuit arrangements for generating control signals
    • F02D41/14Introducing closed-loop corrections
    • F02D41/1401Introducing closed-loop corrections characterised by the control or regulation method
    • F02D2041/1433Introducing closed-loop corrections characterised by the control or regulation method using a model or simulation of the system
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D2200/00Input parameters for engine control
    • F02D2200/02Input parameters for engine control the parameters being related to the engine
    • F02D2200/04Engine intake system parameters
    • F02D2200/0402Engine intake system parameters the parameter being determined by using a model of the engine intake or its components
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D2200/00Input parameters for engine control
    • F02D2200/02Input parameters for engine control the parameters being related to the engine
    • F02D2200/04Engine intake system parameters
    • F02D2200/0406Intake manifold pressure
    • F02D2200/0408Estimation of intake manifold pressure

Definitions

  • the invention relates to a method for validating parameters based on parameters, the parameter models being used to determine setpoints for operating parameters of an internal combustion engine, with the features mentioned in the preamble of claim 1.
  • a disadvantage of such parameter models is that changes that can occur during dynamic operation of the internal combustion engine are not taken into account.
  • a comparison of the setpoints with the measured operating parameters takes place in the engine control unit and subsequently a manipulated variable for the actuating means is determined from their deviation, but this does not take into account that as the service life of the internal combustion engine progresses the previously set up parameter models deviate from the actual state. This can have the consequence that the combustion engine can no longer be operated optimally at the respective working point and an additional consumption and an additional emission of pollutants must be accepted.
  • Correction of the parameters on which the parameter model is based is only possible with conventional methods if there are appropriate interfaces for data feed. On the one hand, this increases the material costs and, on the other hand, leads to increased maintenance. Apart from that, it is practically very complex to carry out the individual adjustment of the parameter models via an external access.
  • the object of the present invention is to provide a method which makes it possible to adapt the parameter models to the actual state of the internal combustion engine even in dynamic operation. This should be done with high operational reliability and with the least possible additional maintenance. Furthermore, the cost of materials should be kept as low as possible.
  • this object is achieved by the method for validating parameters based on parameter models with the features of claim 1.
  • a correction value is generated as a function of a level of a deviation of the target value from the operating parameter
  • the parameter models Before they are used for the first time, the parameter models only have to be given a corresponding data record once for the underlying quantities. If necessary, this data record can be pre-optimized in a training phase, for example on a test bench or during test drives, and is therefore already individually adapted. This enables series spreads, different operating conditions and aging to be taken into account easily. It is also advantageous that the parameter models used are fed back only with themselves, so that the greatest possible stability can be ensured during the validation of the underlying variables. An additional feeding of data - as is usual with conventional parameter models - can be dispensed with. This also eliminates the need to provide suitable interfaces for data transfer, which lowers material costs.
  • the setpoint determined via a parameter model is an underlying variable of a further parameter model.
  • the parameter model for the intake manifold pressure can deliver a setpoint that serves as an underlying parameter of the parameter model for the air mass flow.
  • a target value for the torque can be determined in the same way.
  • the setpoint value for the torque flows as an underlying variable into a model for the manipulated variables of the operating mode controller.
  • the manipulated variables then include, for example, a throttle valve opening angle and an ignition angle.
  • the invention is explained in more detail in an exemplary embodiment with reference to a drawing.
  • the figure shows a schematic block diagram for the validation of parameters based on parameter models.
  • the method described in the exemplary embodiment serves to determine manipulated variables for an operating mode controller of an internal combustion engine.
  • three parameter models 10, 12, 14 are shown in the figure, the first of which provides a setpoint for an intake manifold pressure (parameter model 10), the second a setpoint for an air mass flow (parameter model 12) and the latter provides a setpoint for a torque (parameter model 14).
  • the parameter models 10, 12, 14 are assigned a model 16 for manipulated variables of an operating mode controller of an internal combustion engine.
  • the internal combustion engine usually has suitable sensors to detect selected operating parameters. Such sensors are known and enable, for example, the detection of an air temperature 18, an engine temperature 20, a rotational speed 22, an EGR rate 24, a lambda value 26 or an intake manifold pressure 28. In addition to these directly detectable operating parameters, it is of course also possible to use conventional parameter models to base the determined values for operating parameters on the parameter models 10, 12, 14 according to the invention.
  • the parameter model 10 for the intake manifold internal pressure is based on the air temperature 18, an air mass flow 40 and a throttle valve opening angle 34 as input variables. These input variables are processed in accordance with the parameters on which the parameters are based and provide a setpoint 36 for the intake manifold pressure. The target value 36 is then compared with the measured intake manifold pressure 28. Depending on the amount of a deviation of the target value 36 from the intake manifold pressure 28, a correction value 38 is generated, which in turn is used to weight the variables on which the parameter model 10 is based. In this way, the parameter model 10 can be continuously adapted to new conditions.
  • the setpoint 36 for the intake manifold pressure and the air temperature 18, the engine temperature 20, the speed 22 and the EGR rate 24 subsequently serve as input variables for the parameter model 12 of the air mass flow.
  • a setpoint 40 for the air mass flow is calculated using the model on which the parameters are based. If the air mass flow cannot be determined directly, it can also be calculated separately using an autonomous model (not shown here) which compares the measured lambda value 26 with a calculated lambda value 32. This “actual value” of the air mass flow is compared with the target value 40 and, in the event of a deviation, leads to the formation of a correction value 42, which in turn is used in the weighting of the parameters on which the parameter model 12 is based.
  • the setpoint 40 can also be used to regulate a fuel mass flow 44, for example by specifying an injection time 30 accordingly.
  • the setpoint value 40 of the air mass flow also serves as an input variable of the parameter model 14 for the torque of the internal combustion engine.
  • 14 input variables flow into the parameter model, such as the air temperature 18 Engine temperature 20, the speed 22 and an ignition angle 46.
  • a setpoint value 48 for the torque is determined.
  • a deviation can again be determined, which may lead to a correction value 52, which takes into account a renewed weighting of the parameters on which the parameter model 14 is based must become.
  • the setpoint 48 of the torque represents the input variable for the model 16 for determining the manipulated variables of the operating mode controller.
  • this model 16 can also be designed in such a way that dynamic variables are also the basis for the model 16 here.
  • the throttle valve opening angle 34 and the ignition angle 46 can then be influenced as adjusting means for the operating mode.

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Electrical Control Of Air Or Fuel Supplied To Internal-Combustion Engine (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

La présente invention concerne un procédé permettant de valider des grandeurs fondées sur des modèles de paramètres, ces modèles de paramètres servant à déterminer des valeurs théoriques pour les paramètres de fonctionnement qui caractérisent un mode de fonctionnement d'un moteur à combustion interne. Des moyens permettant de détecter des paramètres de fonctionnement sont associés au moteur à combustion interne. L'invention se caractérise en ce que (a) lors d'un fonctionnement dynamique du moteur à combustion interne, au moins un paramètre de fonctionnement détecté est comparé avec la valeur théorique, (b) une valeur de correction est produite en fonction de l'importance de l'écart entre la valeur théorique et le paramètre de fonctionnement, puis (c) la valeur de correction est utilisée afin de pondérer les grandeurs fondées sur des modèles de paramètres.
EP00956282A 1999-08-24 2000-07-26 Regulation d'un moteur a allumage commande Expired - Lifetime EP1125042B1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19939973A DE19939973A1 (de) 1999-08-24 1999-08-24 Regelung eines Ottomotors
DE19939973 1999-08-24
PCT/EP2000/007146 WO2001014704A1 (fr) 1999-08-24 2000-07-26 Regulation d'un moteur a allumage commande

Publications (2)

Publication Number Publication Date
EP1125042A1 true EP1125042A1 (fr) 2001-08-22
EP1125042B1 EP1125042B1 (fr) 2005-06-22

Family

ID=7919337

Family Applications (1)

Application Number Title Priority Date Filing Date
EP00956282A Expired - Lifetime EP1125042B1 (fr) 1999-08-24 2000-07-26 Regulation d'un moteur a allumage commande

Country Status (3)

Country Link
EP (1) EP1125042B1 (fr)
DE (2) DE19939973A1 (fr)
WO (1) WO2001014704A1 (fr)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6678608B2 (en) * 2001-11-09 2004-01-13 Ford Global Technologies, Llc Robust interpolation method for improved automative engine control during transient engine operation
DE10237328B4 (de) * 2002-08-14 2006-05-24 Siemens Ag Verfahren zum Regeln des Verbrennungsprozesses einer HCCI-Brennkraftmaschine
DE10317120B4 (de) * 2003-04-14 2006-11-23 Siemens Ag System und Verfahren zum Ermitteln eines Restgasgehaltes in einem Brennraum eines Verbrennungsmotors
DE102007032062B3 (de) * 2007-07-10 2008-11-13 Continental Automotive Gmbh Verfahren zum Bestimmen der Regelparameter einer Regeleinrichtung und nach diesem Verfahren arbeitende Regeleinrichtung
DE102009032064B3 (de) * 2009-07-07 2010-08-26 Continental Automotive Gmbh Verfahren und Vorrichtung zum Betreiben einer Brennkraftmaschine

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JP3063186B2 (ja) * 1991-03-07 2000-07-12 株式会社デンソー エンジンのアイドリング回転数制御装置
DE4120796A1 (de) * 1991-06-24 1993-01-07 Siemens Ag Einrichtung zur parameteridentifikation einer uebertragungsstrecke
US5323748A (en) * 1991-08-28 1994-06-28 Massachusetts Institute Of Technology Adaptive dilution control system for increasing engine efficiencies and reducing emissions
DE4208002B4 (de) * 1992-03-13 2004-04-08 Robert Bosch Gmbh System zur Steuerung einer Brennkraftmaschine
FR2692688B1 (fr) * 1992-06-19 1994-08-19 Cegelec Procédé de régulation d'un processus continu comportant une phase d'optimisation d'un modèle et une phase de régulation.
JP2750648B2 (ja) * 1992-11-16 1998-05-13 本田技研工業株式会社 漸化式形式のパラメータ調整則を持つ適応制御器
JPH06249033A (ja) * 1993-02-25 1994-09-06 Nippondenso Co Ltd 内燃機関の空燃比制御装置
EP0663632B1 (fr) * 1994-01-17 1997-12-10 Siemens Aktiengesellschaft Méthode et dispositif pour la comande d'un processus
DE4422184C2 (de) * 1994-06-24 2003-01-30 Bayerische Motoren Werke Ag Steuergerät für Kraftfahrzeuge mit einer Recheneinheit zur Berechnung der in einen Zylinder der Brennkraftmaschine strömenden Luftmasse
BR9604813A (pt) * 1995-04-10 1998-06-09 Siemens Ag Método para detminação do fluxo de massa de ar dentro de cilindros de um motor de combustão interna com ajuda de um modelo
DE59700375D1 (de) * 1996-03-15 1999-09-30 Siemens Ag Verfahren zum modellgestützten bestimmen der in die zylinder einer brennkraftmaschine einströmenden frischluftmasse bei externer abgasrückführung
DE29610789U1 (de) * 1996-06-19 1997-07-17 Siemens Ag Einrichtung zur Identifikation einer Übertragungsstrecke, insbesondere einer Regelstrecke
JP3304844B2 (ja) * 1997-08-29 2002-07-22 本田技研工業株式会社 プラントの制御装置
SE522112C2 (sv) * 1997-09-22 2004-01-13 Volvo Car Corp Förfarande och anordning för bestämning av temperaturvärden hos materialet i åtminstone en temperaturkritisk komponent
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Non-Patent Citations (1)

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Title
See references of WO0114704A1 *

Also Published As

Publication number Publication date
DE50010602D1 (de) 2005-07-28
WO2001014704A1 (fr) 2001-03-01
EP1125042B1 (fr) 2005-06-22
DE19939973A1 (de) 2001-03-01

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